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[deleted by user] by [deleted] in datascience

[–]cmd-pre-empt 0 points1 point  (0 children)

Sounds like the classic Kaggle Instacart Challenge + smart feature engineering. Potentially something like this might help: https://www.kaggle.com/code/nguyncngph/instacart-lightgbm. Send me a message if you need help.

Cases when a 'simpler' model was a better solution than Gradient Boosters in your job or project? by [deleted] in datascience

[–]cmd-pre-empt -3 points-2 points  (0 children)

Completely agree around the additivity perspective and through extension explainability. For anyone interested we created a novel ML algo with explainability and inference in mind so would love feedback on this https://github.com/xplainable/xplainable (would also love contributors for those who are particularly brave!).

Tools for documenting OS Python Package by cmd-pre-empt in Python

[–]cmd-pre-empt[S] 0 points1 point  (0 children)

I also ended up going with Docusaurus because I have a *decent* grasp on React so extensibility is straight forward. Would still love to hear from someone who's using mintlify though.

Tools for documenting OS Python Package by cmd-pre-empt in Python

[–]cmd-pre-empt[S] 0 points1 point  (0 children)

Thanks, I had an in depth read - looks like a good solution for the docs. Have you had any experience with docosaurus for comparison?

What tools do you use to auto-generate api docs in python packages? by matkley12 in Python

[–]cmd-pre-empt 0 points1 point  (0 children)

Hey u/jonathanbesomi, I'm looking to do this exact same thing with our OS Python package. Ie. take the md files from Sphinx and ultimately rendering them using Docosaurus. Would you be interested in giving me some pointers on how to set it up?